{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "## GEOG8292\n", "### Brittany Krzyzanowski \n", "University of Minnesota Department of Geography, Environment & Society\n", "\n", "krzyz016@umn.edu\n", "Minneapolis, MN 55416\n", "\n", "http://www.rise-group.org/risem/clusterpy/clusterpy0_9_9/regionalization.html" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "SOM + MAX P" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "#MaxP on UMAT\n", "import clusterpy\n", "\n", "blockgroups = clusterpy.importArcData(\"C://Users//krzyzanowski//Desktop//Step2_R//output//umat_map\")\n", "\n", "blockgroups.fieldNames\n", " \n", "dataOperations = {'umat':['mean'],'TOTPOP_CY':['sum']}\n", "blockgroups.cluster('maxpTabu', ['umat','TOTPOP_CY'], threshold=20001, maxit=9, dissolve=1, dataOperations=dataOperations)\n", "\n", "\n", "#Making the Map\n", "blockgroups.results[0].exportArcData(\"C://Users//krzyzanowski//Desktop//Step3_Py//MSOM\")\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }